def backup_tweets(twitter_config, my_tweets_file):
key = APIKey(
consumer_key = twitter_config["consumer_key"],
consumer_secret = twitter_config["consumer_secret"],
bearer_token = twitter_config["bearer_token"],
access_token = twitter_config["access_token"],
access_token_secret = twitter_config["access_token_secret"]
)
twitter = ITwitter(key,"http://127.0.0.1:7890")
twitter.get_tweets(my_tweets_file)
twitter.empty_tweets()
def draw_test(foldername, searchword):
list_word = twitter.get_tweets(foldername, searchword)
address = '../' + foldername + '/' + foldername + '_images/'
#build a white background
for i in range(0, len(list_word)):
font = ImageFont.truetype('./DejaVuSerif-Italic.ttf', 15)
word = list_word[i].encode('ascii', 'ignore').decode('ascii')
image = Image.new('RGB', (500, 312), color=(190, 226, 231))
draw = ImageDraw.Draw(image)
draw.text((5, 200), word, fill=(0, 0, 0), font=font)
j = str(i + 1)
image.save('../' + foldername + '/' + foldername + '_images/' + j +
'.jpg',
dpi=(300.0, 300.0))
# image.show()
return address
# if __name__ == '__main__':
# foldername = input('Enter your foldername: ')
# searchword = input('Enter the searchword you would like to search: ')
# draw_test(foldername, searchword)
def get_tweet_list(user_handle):
"""Run a sentiment analysis request on text within a passed filename."""
client = language.LanguageServiceClient()
tweet_list = twitter.get_tweets(handle=user_handle)
if tweet_list[0] == "34":
return tweet_list
for i in range(len(tweet_list)):
content = tweet_list[i].get("text")
document = types.Document(content=content,
type=enums.Document.Type.PLAIN_TEXT)
annotations = client.analyze_sentiment(document=document)
# Print the results
# print_result(annotations)
score = annotations.document_sentiment.score
magnitude = annotations.document_sentiment.magnitude
tweet_list[i]["score"] = score
tweet_list[i]["magnitude"] = magnitude
# print(tweet_list[i])
return tweet_list
def produce_next_tweet(app_status):
app_status = status.load()
# Just get the latest tweets
tweets = twitter.get_timeline_tweets(800)
tweets = filter_tweets(tweets)
tweets = filter(lambda t:not t['user']['screen_name'] == twitter_settings.screen_name, tweets)
if len(tweets) <= 1:
print('Could not generate tweet (not enough eligible tweets)')
app_status['latest_tweet'] = 'Could not generate tweet (not enough eligible tweets)'
return
recent_tweets = twitter.get_tweets(twitter_settings.screen_name, True)
best_tweet = create_markovated_tweet(tweets, 140, map(lambda t: t['text'].strip(), recent_tweets))
if best_tweet != None:
twitter.post_tweet(best_tweet)
encoded = unicode(best_tweet).encode('utf-8')
print(encoded + '(' + str(len(encoded)) + ')')
app_status['latest_tweet'] = encoded;
else:
print('Could not generate tweet')
app_status['latest_tweet'] = 'Could not generate tweet'
status.save(app_status)
def produce_next_tweet(app_status):
app_status = status.load()
# Just get the latest tweets
tweets = twitter.get_timeline_tweets(800)
tweets = filter_tweets(tweets)
tweets = filter(
lambda t: not t['user']['screen_name'] == twitter_settings.screen_name,
tweets)
if len(tweets) <= 1:
print('Could not generate tweet (not enough eligible tweets)')
app_status[
'latest_tweet'] = 'Could not generate tweet (not enough eligible tweets)'
return
recent_tweets = twitter.get_tweets(twitter_settings.screen_name, True)
best_tweet = create_markovated_tweet(
tweets, 140, map(lambda t: t['text'].strip(), recent_tweets))
if best_tweet != None:
twitter.post_tweet(best_tweet)
encoded = unicode(best_tweet).encode('utf-8')
print(encoded + '(' + str(len(encoded)) + ')')
app_status['latest_tweet'] = encoded
else:
print('Could not generate tweet')
app_status['latest_tweet'] = 'Could not generate tweet'
status.save(app_status)
def reply_to_user(user, app_status):
if user['protected']:
print("@" + user['screen_name'] + " sorry, I can't process protected users :(")
return
screen_name = user['screen_name']
print(screen_name)
tweets = filter_tweets(twitter.get_tweets(screen_name, True))
if len(tweets) <= 1:
print("Not enough tweets")
fail_reply = "@" + screen_name + " sorry, you need to tweet more (or tweet less @ mentions and links) :("
twitter.post_tweet(fail_reply)
app_status['latest_reply'] = fail_reply
return
tweet_prefix = '@' + screen_name + ' markovated: '
ideal_tweet_length = 140 - len(tweet_prefix)
best_tweet = create_markovated_tweet(tweets, ideal_tweet_length)
if best_tweet != None:
tweet = tweet_prefix + best_tweet
twitter.post_tweet(tweet)
encoded = unicode(tweet).encode('utf-8')
print(encoded + '(' + str(len(encoded)) + ')')
app_status['latest_reply'] = encoded
else:
print('<p>Could not generate reply</p>')
app_status['latest_reply'] = 'Could not generate'
def get(self):
app_status = status.load()
# Just get the latest tweets
tweets = twitter.get_timeline_tweets(800)
tweets = filter_tweets(tweets)
tweets = filter(lambda t:not t['user']['screen_name'] == twitter_settings.screen_name, tweets)
if len(tweets) <= 1:
self.response.out.write('<p>Could not generate tweet (not enough eligible tweets)</p>')
app_status['latest_tweet'] = 'Could not generate tweet (not enough eligible tweets)'
return
recent_tweets = twitter.get_tweets(twitter_settings.screen_name, True)
best_tweet = create_markovated_tweet(tweets, 140, map(lambda t: t['text'].strip(), recent_tweets))
if best_tweet != None:
twitter.post_tweet(best_tweet)
self.response.out.write('<p>' + best_tweet + '</p>' + '(' + str(len(best_tweet)) + ')')
app_status['latest_tweet'] = best_tweet;
else:
self.response.out.write('<p>Could not generate tweet</p>')
app_status['latest_tweet'] = 'Could not generate tweet'
status.save(app_status)
def wordcloud():
username = request.args.get('user').strip()
if username.startswith('@'): username = username[1:]
words = get_tweets(username)
path = get_wordcloud(username, words)
image = dict(desc='WordCloud', path=path)
return render_template('figure.html', image=image)
def reply_to_user(self, user, app_status):
if user['protected']:
self.response.out.write("@" + user['screen_name'] + " sorry, I can't process protected users :(")
return
screen_name = user['screen_name']
self.response.out.write("<h1>" + screen_name + "</h1>")
tweets = filter_tweets(twitter.get_tweets(screen_name, True))
if len(tweets) <= 1:
self.response.out.write("<p>Not enough tweets</p>")
fail_reply = "@" + screen_name + " sorry, you need to tweet more (or tweet less @ mentions and links) :("
twitter.post_tweet(fail_reply)
app_status['latest_reply'] = fail_reply
return
tweet_prefix = '@' + screen_name + ' markovated: '
ideal_tweet_length = 140 - len(tweet_prefix)
best_tweet = create_markovated_tweet(tweets, ideal_tweet_length)
if best_tweet != None:
tweet = tweet_prefix + best_tweet
twitter.post_tweet(tweet)
self.response.out.write('<p>' + tweet + '</p>' + '(' + str(len(tweet_prefix + best_tweet)) + ')')
app_status['latest_reply'] = tweet
else:
self.response.out.write('<p>Could not generate reply</p>')
app_status['latest_reply'] = 'Could not generate'
def produce_next_tweet(app_status):
app_status = status.load()
# Just get the latest tweets
tweets = twitter.get_timeline_tweets(800)
tweets = filter_tweets(tweets)
tweets = filter(lambda t:not t['user']['screen_name'] == twitter_settings.screen_name, tweets)
if len(tweets) <= 1:
print('Could not generate tweet (not enough eligible tweets)')
app_status['latest_tweet'] = 'Could not generate tweet (not enough eligible tweets)'
return
recent_tweets = twitter.get_tweets(twitter_settings.screen_name, True)
best_tweet = create_markovated_tweet(tweets, 140, map(lambda t: t['text'].strip(), recent_tweets))
if best_tweet != None:
html_ent = re.findall(regexp, best_tweet)
for e in html_ent:
h = HTMLParser.HTMLParser()
unescaped = h.unescape(e) #finds the unescaped value of the html entity
best_tweet = best_tweet.replace(e, unescaped) #replaces html entity with unescaped value
twitter.post_tweet(best_tweet, None)
encoded = unicode(best_tweet).encode('utf-8')
print(encoded + '(' + str(len(encoded)) + ')')
app_status['latest_tweet'] = encoded;
else:
print('Could not generate tweet')
app_status['latest_tweet'] = 'Could not generate tweet'
status.save(app_status)
def reply_to_user(user, app_status):
if user['protected']:
print("@" + user['screen_name'] +
" sorry, I can't process protected users :(")
return
screen_name = user['screen_name']
print(screen_name)
tweets = filter_tweets(twitter.get_tweets(screen_name, True))
if len(tweets) <= 1:
print("Not enough tweets")
fail_reply = "@" + screen_name + " sorry, you need to tweet more (or tweet less @ mentions and links) :("
twitter.post_tweet(fail_reply)
app_status['latest_reply'] = fail_reply
return
tweet_prefix = '@' + screen_name + ' markovated: '
ideal_tweet_length = 140 - len(tweet_prefix)
best_tweet = create_markovated_tweet(tweets, ideal_tweet_length)
if best_tweet != None:
tweet = tweet_prefix + best_tweet
twitter.post_tweet(tweet)
encoded = unicode(tweet).encode('utf-8')
print(encoded + '(' + str(len(encoded)) + ')')
app_status['latest_reply'] = encoded
else:
print('<p>Could not generate reply</p>')
app_status['latest_reply'] = 'Could not generate'
def index():
if request.method == 'POST':
handle = request.form['handle']
tweets = twitter.get_tweets(handle, 5)
for tweet in tweets:
tweet.text = synonymize(tweet.text)
return render_template('index.html', messages=tweets)
# Fetch five random handles from the list
handles = random.sample(mainhandles, 5)
tweets = []
for handle in handles:
t = twitter.get_tweets(handle, 1)
if len(t) > 0:
tweet = t[0]
tweet.text = synonymize(tweet.text)
tweets.append(tweet)
return render_template('index.html', messages=tweets)
def test_get_tweets():
# Check if key file is present
if get_config_key('consumer_key') is None:
elon_num = twitter.get_num_followers
assert elon_num is not None
# If key credential file exists, test get tweets function
num = twitter.get_tweets('elonmusk')
assert num is not None
def test_get_tweets():
assert get_tweets('blakelively','blakelively')
assert get_tweets('EXO','EXO')
assert get_tweets('sehun','sehun')
assert get_tweets('baekhyun','baekhyun')
assert get_tweets('evanlin','evanlin')
assert get_tweets('chanyeol','chanyeol')
def fetch_tweets(keyword, num_of_tweets):
time_stamp, location_list, twitter_user, tweet_list = twitter.get_tweets(
keyword, num_of_tweets)
print("successfuly obtained tweets")
prep_text = preprocess_texts(tweet_list)
labels = Predict(prep_text)
df = pd.DataFrame(
list(zip(time_stamp, location_list, twitter_user, tweet_list, labels)),
columns=['time_stamp', 'location', 'user name', 'text', 'val'])
df.to_csv('file.csv', index=False)
for i, j in zip(tweet_list, labels):
print(i)
print("\n\n")
print(j)
def generate_indiv_slides(handle, unique_code):
# Obtain the previous tweets from the desired user
tweets = get_tweets(handle)
# Store the number of tweets fetched, number is generally 20
# num_tweets = len(tweets)
# Default number of tweets fetched to 3
num_tweets = 3 if len(tweets) > 3 else len(tweets)
# Generate videos for individual tweets
for position in range(0, num_tweets):
create_single_tweet(position, tweets[position], unique_code)
return num_tweets
def tweet2image(username, searchword):
list_word = twitter.get_tweets(username, searchword)
address = username + '/' + username + '_images/'
#build a white background
for i in range(0, len(list_word)):
font = ImageFont.truetype('./DejaVuSerif-Italic.ttf', 15)
word = list_word[i].encode('ascii', 'ignore').decode('ascii')
image = Image.new('RGB', (500, 312), color=(190, 226, 231))
draw = ImageDraw.Draw(image)
draw.text((5, 200), word, fill=(0, 0, 0), font=font)
j = str(i + 1)
image.save(username + '/' + username + '_images/' + j + '.jpg',
dpi=(300.0, 300.0))
# image.show()
return address
def get_tones(topic):
service = ToneAnalyzerV3(
url='https://gateway.watsonplatform.net/tone-analyzer/api',
version='2018-06-05',
iam_apikey='i5NQ4PEpjkuL6SMqASyjoCcnY8ftngT_HTSEAOFi6hf8')
tweets = get_tweets(topic, 50)
tweet_object_arr = []
for tweet in tweets:
tweet_object_arr.append({'text': tweet})
tone_chat = service.tone_chat(tweet_object_arr).get_result()
return tone_chat
def _get_tweet_data():
username = request.args['user']
model = m.TwitterUser.query.filter_by(user_id=username).first()
if not model:
tweets = twitter.get_tweets(username)
text = unicodedata.normalize('NFKC', '\n'.join(tweets))
data = bluemix.analyse_text(text)
model = m.TwitterUser()
model.user_id = username
model.personality_data = json.dumps(data)
db.session.add(model)
db.session.commit()
data = json.dumps(data)
else:
data = model.personality_data
return data
def most_recent_tweet():
global new_text
global old_text
global new_code
while True:
start = time.time()
for tweet in get_tweets("chipotletweets", pages=1):
new_text = tweet["text"]
print(new_text)
end = time.time()
if new_text != old_text:
words = new_text.split(" ")
for word in words:
if "FREE" in word:
new_code = word
old_text = new_text
print("Retrieved in " + str(end - start)[:5] + " seconds!")
def expand_notices(notices):
receiver_ids = [notice['ReceiverID'] for notice in notices]
sender_ids = [notice['SenderID'] for notice in notices]
user_ids = list(set(receiver_ids + sender_ids))
users = twitter.get_users(user_ids=user_ids)
users = {user['id_str']: user for user in users}
tweet_ids = list(set([notice['TweetID'] for notice in notices]))
tweets = twitter.get_tweets(tweet_ids)
tweets = {tweet['id_str']: tweet for tweet in tweets}
get_notice = lambda notice: {
'Receiver': users.get(notice['ReceiverID']),
'Sender': users.get(notice['SenderID']),
'Tweet': tweets.get(notice['TweetID']),
'Timestamp': notice['Timestamp']
}
notices = [get_notice(notice) for notice in notices]
return notices
def get_tweets(search_term, location, location_name):
'''Gets the tweets for a given location. It tries the Google Datastore first; that failing,
it grabs new tweets from Twitter.
:param location: the google geocode location coordinates
:param location_name: the named location
:param search_term: twitter is queried with this'''
# First, check whether tweets for this search term and location already exist in the db.
q = twitter.Tweet.all()
q.filter("location_name =", location_name.lower())
q.filter("search_term =", search_term)
tweet_records = q.run(limit=10, read_policy=db.STRONG_CONSISTENCY)
tweet_records = list(tweet_records)
if len(tweet_records) > 0:
logging.info('using cached tweets')
# If they don't, fetch the tweets and put them in the db
if len(tweet_records) == 0:
logging.debug('no cached tweets; fetching new ones')
tweet_records = []
tweets = twitter.get_tweets(search_term, location)
for tweet in tweets:
# e.g. Sat, 13 Apr 2013 21:50:12 +0000
dt = datetime.datetime.strptime(tweet['created_at'],'%a, %d %b %Y %H:%M:%S +0000')
# Get the tweet's sentiment
sentiment = get_sentiment(tweet['text'])
record = twitter.Tweet( text=tweet['text'],
from_user=tweet['from_user'],
profile_image_url=tweet['profile_image_url'],
created_at=dt,
location_name=location_name.lower(),
search_term=search_term,
pos=sentiment['probability']['pos'],
neg=sentiment['probability']['neg'],
neutral=sentiment['probability']['neutral'],
label=sentiment['label']
)
record.put() # persist to the db
tweet_records.append(record) # collect for immediate return
return tweet_records
def reply_to_user(user, app_status, replyID):
if user['protected']:
print("@" + user['screen_name'] + " sorry, I can't process protected users :(")
return
screen_name = user['screen_name']
print(screen_name)
tweets = filter_tweets(twitter.get_tweets(screen_name, True))
if len(tweets) <= 1:
print("Not enough tweets")
fail_reply = "@" + screen_name + " Pas assez de tweets. "
twitter.post_tweet(fail_reply, None)
app_status['latest_reply'] = fail_reply
return
tweet_prefix = '@' + screen_name + ' '
ideal_tweet_length = 140 - len(tweet_prefix)
best_tweet = create_markovated_tweet(tweets, ideal_tweet_length)
if best_tweet != None:
html_ent = re.findall(regexp, best_tweet)
for e in html_ent:
h = HTMLParser.HTMLParser()
unescaped = h.unescape(e) #finds the unescaped value of the html entity
best_tweet = best_tweet.replace(e, unescaped) #replaces html entity with unescaped value
tweet = tweet_prefix + best_tweet
twitter.post_tweet(tweet, replyID)
encoded = unicode(tweet).encode('utf-8')
print(encoded + '(' + str(len(encoded)) + ')')
app_status['latest_reply'] = encoded
else:
print('<p>Could not generate reply</p>')
app_status['latest_reply'] = 'Could not generate'
def get_info():
access_token = setup_api()
topic = request.form['topic']
tweets = get_tweets(access_token, topic)
tot = 0
most_positive = 0
most_negative = 1
pos_tweet = ""
neg_tweet = ""
for tweet in tweets:
tweet_sequence = prepare_tweet(tweet)
sent = model.predict(tweet_sequence)[0]
tot += sent
if sent > most_positive:
most_positive = sent
pos_tweet = tweet
elif sent < most_negative:
most_negative = sent
neg_tweet = tweet
average_sentiment = (tot / len(tweets)) * 100
return make_result_page(topic, average_sentiment[0], pos_tweet, neg_tweet)
def get_top_tweets(user):
tweets = get_tweets("from:" + user)
news = get_news()
scored_tweets = []
for tweet in tweets:
news.insert(0, tweet.text)
vect = TfidfVectorizer(min_df=1)
tfidf = vect.fit_transform(news)
vectors = (tfidf * tfidf.T).A
scores_list = vectors.tolist()[0]
tweet.set_score(sum(scores_list))
news.pop(0)
scored_tweets.append(tweet)
sorted_tweets = sorted(scored_tweets)
top_ten_scored_tweet_ids = {}
tweet_count = min(10, len(sorted_tweets))
for i in range(tweet_count):
if sorted_tweets[i].score > 1.5:
top_ten_scored_tweet_ids[str(i)] = sorted_tweets[i].id
return top_ten_scored_tweet_ids
def ask(self, raw_input_string):
"""
:param raw_input_string: Users question as raw string
:return: Bots response as string
"""
query = self.cleaner.clean(raw_input_string)
if "translate" in query:
return translate.translate_text(query.replace("translate", ""))
elif "tweet" in query:
return twitter.get_tweets()
elif "wolfram" in query:
return wolfram.wolfram_query(query.replace("wolfram", ""))
else:
results = self.es.search(query)
if len(results) > 0:
return results[0]["_source"]["response"]
from random import randint
return DEFAULT[randint(0, len(DEFAULT) - 1)]
def fetch_tweets(keyword, num_of_tweets):
time_stamp, location_list, twitter_user, subjectivity, polarity, tweet_list = twitter.get_tweets(
keyword, num_of_tweets)
print("[INFO] successfuly obtained tweets")
prep_text = preprocess_texts(tweet_list)
labels = Predict(prep_text)
df = pd.DataFrame(list(
zip(time_stamp, location_list, twitter_user, prep_text, subjectivity,
polarity, labels)),
columns=[
'time_stamp', 'location', 'user name', 'text',
'Polarity', 'Subjectivity', 'Sentiments'
])
os.system('rm file.csv')
os.system('rm temp.csv')
df.to_csv('temp.csv', index=False)
df.to_csv('file.csv', index=False)
print("file is written")
for i, j in zip(tweet_list, labels):
print(i)
print("\n\n")
print(j)
def get_tweets_parallel(user):
cxn = Connection()
db = cxn.tweets
print "Getting tweets for ", user
updates = twitter.get_tweets(user,limit = 1000)
from tqdm import tqdm
import gslides, twitter, analytics
import sys
enterprise = '--enterprise' in sys.argv
presentation = gslides.init()
tweets = twitter.get_tweets_plus() if enterprise else twitter.get_tweets()
i = 0
qs = []
for tweet in tqdm(tweets):
q, i = gslides.new_slide_plus(presentation, tweet,
i) if enterprise else gslides.new_slide(
presentation, tweet, i)
qs += q
# TODO: add more detailed analytics for enterprise users
q, i = gslides.new_image_slide(
presentation,
analytics.daily_performance(tweets).decode('utf-8'), i)
qs += q
gslides.execute(presentation, qs)
# Listing_16-17.py
# Copyright Warren Sande, 2009
# Released under MIT license http://www.opensource.org/licenses/mit-license.php
# Version 61 ----------------------------
# move a beach ball image in a pygame window with wrapping
import pygame, sys, feedparser, twitter
c = 0
tweets = twitter.get_tweets()
pygame.init()
pygame.mouse.set_visible(0)
screen = pygame.display.set_mode([0,0] ,pygame.FULLSCREEN)
screen.fill([0, 0, 0])
font = pygame.font.SysFont('astronaut',250)
text = font.render(tweets[c] , False, (0,0,255), (0,0,0))
fontSize = font.size(tweets[c])
x = screen.get_width()
y = screen.get_height() / 2
x_speed = -10
while 1:
for event in pygame.event.get():
if event.type == pygame.QUIT:
sys.exit()
if event.type == pygame.KEYDOWN and event.key == pygame.K_ESCAPE:
sys.exit()
pygame.time.delay(30)
pygame.draw.rect(screen, [0,0,0], [x, y, fontSize[0], fontSize[1]], 0)
x = x + x_speed
def predict_for_hashtag(hashtag, lang):
tweets = twitter.get_tweets(hashtag, lang)
tweets['sentiment'] = predict(tweets['text'])
return tweets
TwitterFeed = []
for link in soup.find_all('a'):
if re.match(r'^T$', link.text) != None:
TwitterFeed.append(link.get('href'))
# GET TWITTER USERNAMES FROM LINKS
usernames = []
for user in TwitterFeed:
usernames.append(user[23:len(user)])
# GRAB RECENT TWEETS FROM EACH NEWSPAPER
if level=='all':
tweet_list = []
state_tweets =[] #for return
for user in usernames:
tweets = twitter.get_tweets(user,count=3)
tweet_list.append({'user':user,'tweets':tweets})
state_tweets.extend(tweets)
elif level=='country':
state_tweets =[] #for return
for user in usernames:
tweets = twitter.get_tweets(user,count=4)
state_tweets.extend(tweets)
#SENTIMENT ANALYSIS
def senti(list_of_tweets):
sentiment,subjectivity = [],[]
print 'list of tweets',len(list_of_tweets)
for tweet in list_of_tweets:
blob = TextBlob(tweet)
sentiment.append(blob.sentiment.polarity)
def get(self, args):
tweets = get_tweets(args["handle"])
return jsonify(tweets[0].to_json())
for word in diclist:
pn = word['PN']
if pn != 'notfound':
pn_list.append(pn)
if len(pn_list) > 0:
pnmean = np.mean(pn_list)
else:
pnmean = None
return (pnmean)
if __name__ == '__main__':
t = Tokenizer()
api = tw.get_api()
search_results = tw.get_search_results(api)
tweetlist = tw.get_tweets(search_results)
#pnmean_list = []
tweet_pnmean_list = []
for td in tweetlist:
tweet = td['tweet']
tweet = tweet.replace('\n', '')
parsed_tweet = t.tokenize(tweet)
diclist = get_diclist(parsed_tweet)
diclist = add_pnvalue(diclist)
#pp = pprint.PrettyPrinter(indent=4)
#pp.pprint(diclist)
pnmean = get_pnmean(diclist)
#pnmean_list.append(pnmean)
d = {'pnmean': pnmean, 'tweet': tweet}
tweet_pnmean_list.append(d)
#print(pnmean_list)
# Written by Jake Lever 24/03/2021
import twitter
import csv
with open('query_list.csv', newline='') as csvfile:
reader = csv.reader(csvfile, delimiter=',', quotechar='"')
next(reader, None)
for row in reader:
if len(row) == 4:
index, query, start_date, end_date = row[0].strip(), row[1].strip(), row[2].strip(), row[3].strip()
with open('output/{}_tweets.csv'.format(index), 'w', newline='') as csv_out:
writer = csv.writer(csv_out, delimiter=',', quoting= csv.QUOTE_MINIMAL)
writer.writerow(['Tweet_ID', 'Date', 'Text', 'Author_ID'])
tweets = twitter.get_tweets(start_date, end_date, query)
if tweets is not None:
for tweet in tweets:
# print(tweet)
text = tweet.full_text.replace('"', "'").replace('\n', ' ')
writer.writerow([tweet.tweet_id, tweet.date, text, tweet.author_id])
else:
print('Error reading CSV row {}: Contains incorrect number of columns ({})'.format(index, len(row)))
print('Queries searched successfully. Tweets stored in output folder.')
# query = 'Johnson & Johnson'
# tweets = twitter.get_tweets('2019-09-10', '2019-11-25', query)
#
def run(self):
# print(str(self.thread_name) +" "+ str(self.thread_ID));
twitter.get_tweets()
help='File path to the list of tweets IDs.')
parser.add_argument('--file-credential',
'-c',
dest='file_credential',
required=True,
help='File with the twitter app credentials.')
parser.add_argument('--output-file-path',
'-o',
dest='output_file_path',
required=True,
help='Output path to store tweets.')
return parser.parse_args()
if __name__ == '__main__':
args = command_line_parsing()
with open(args.file_credential) as file:
credentials = json.load(file)
tweets_ids = read_text_file(args.file_path)
twitter = FindTweetsByID(credentials)
twitter.get_tweets(args.output_file_path, tweets_ids)
def index():
if is_data_stale():
twitter.get_tweets()
twitter.get_stream()
return render_template('index.html', entries = convert_results())
import twitter
print twitter.get_rate_limit_status()
mentions = twitter.get_mentions()
assert len(mentions) > 1
tweets = twitter.get_tweets('markovator_dev')
assert len(tweets) > 1
print("Tests passed")
# Listing_16-17.py
# Copyright Warren Sande, 2009
# Released under MIT license http://www.opensource.org/licenses/mit-license.php
# Version 61 ----------------------------
# move a beach ball image in a pygame window with wrapping
import pygame, sys, feedparser, twitter
c = 0
tweets = twitter.get_tweets()
pygame.init()
pygame.mouse.set_visible(0)
screen = pygame.display.set_mode([0, 0], pygame.FULLSCREEN)
screen.fill([0, 0, 0])
font = pygame.font.SysFont('astronaut', 250)
text = font.render(tweets[c], False, (0, 0, 255), (0, 0, 0))
fontSize = font.size(tweets[c])
x = screen.get_width()
y = screen.get_height() / 2
x_speed = -10
while 1:
for event in pygame.event.get():
if event.type == pygame.QUIT:
sys.exit()
if event.type == pygame.KEYDOWN and event.key == pygame.K_ESCAPE:
sys.exit()
pygame.time.delay(30)
pygame.draw.rect(screen, [0, 0, 0], [x, y, fontSize[0], fontSize[1]], 0)
x = x + x_speed